Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Face Unlock with Deep Learning
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in Py...
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive f...
Pytorch and JAX Implementation of Scalable Diffusion Models with Transformers | Diffusion Transfo...
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick...
Pytorch implementation of convolutional neural network visualization techniques
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
Network-to-Network Translation with Conditional Invertible Neural Networks
A journey into Convolutional Neural Network visualization
The author's officially unofficial PyTorch BigGAN implementation.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, e...